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ggmugs: Visualization of Multiple Genome-Wide Association Study Summary Statistics

A 'grammar of graphics' approach for visualizing summary statistics from multiple Genome-wide Association Studies (GWAS). It offers geneticists, bioinformaticians, and researchers a powerful yet flexible tool for illustrating complex genetic associations using data from various GWAS datasets. The visualizations can be extensively customized, facilitating detailed comparative analysis across different genetic studies. Reference: Uffelmann, E. et al. (2021) <doi:10.1038/s43586-021-00056-9>.

Version: 0.6.0
Imports: data.table, dplyr, ggplot2, purrr, tibble, tidyr
Suggests: spelling, testthat (≥ 3.0.0)
Published: 2024-05-07
DOI: 10.32614/CRAN.package.ggmugs
Author: Wanjun Gu ORCID iD [aut, cre]
Maintainer: Wanjun Gu <wanjun.gu at ucsf.edu>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ggmugs results

Documentation:

Reference manual: ggmugs.pdf

Downloads:

Package source: ggmugs_0.6.0.tar.gz
Windows binaries: r-devel: ggmugs_0.6.0.zip, r-release: ggmugs_0.6.0.zip, r-oldrel: ggmugs_0.6.0.zip
macOS binaries: r-release (arm64): ggmugs_0.6.0.tgz, r-oldrel (arm64): ggmugs_0.6.0.tgz, r-release (x86_64): ggmugs_0.6.0.tgz, r-oldrel (x86_64): ggmugs_0.6.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggmugs to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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